Framework for building trustworthy AI agents
Five core principles for developing reliable and secure AI agents.
Before or after
before
Context
Developing AI agents
What it does and when to use it
A checklist outlining five key principles for building trustworthy AI agents: ensuring human control, aligning with human values, securing interactions, maintaining transparency, and protecting privacy. These principles guide product decisions for safe and useful agent development.
When not to use it
This framework is specifically for the development and governance of AI agents.
Sources and credit
- Trustworthy agents in practice ↗Anthropic Research · Anthropic Research · Apr 9, 2026 · quoted as shared
First seen on Subvolts Apr 9, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
Where it shows up
- Trustworthy agents in practiceAnthropic · Anthropic Research · Apr 9, 2026
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- Anthropic Research (Anthropic Research). Subvolts collected, normalized and credited it; the link above opens the original.